15 results about "Misinformation" patented technology

Methods, non-transitory computer readable media, apparatuses, and systems for identifying misinformation include obtaining a training sample comprising a text graph and a label indicating whether the text graph includes misinformation, and generating a pseudo-sample by modifying the text graph to obtain a modified text graph, where the pseudo-sample includes the modified text graph and the label. A graph classifier is trained to identify misinformation using the training sample and the pseudo-sample.

To provide a system for detecting fake news and misinformation.SOLUTION: A system for detecting fake news and misinformation comprises means for acquiring information from information sources, means for analyzing the acquired information to discriminate between reliable information and suspicious information, and means for thoroughly inspecting the suspicious information and determining its reliability.SELECTED DRAWING: Figure 1

To provide a system.SOLUTION: A system comprises: means for accepting feedback to increase accuracy of misinformation; means for providing a filtering service to control priority of recommendations; and means for providing a reward for misinformation feedback.SELECTED DRAWING: Figure 1

To provide a system which prevents the spread of misinformation and provides a reliable program by verifying the authenticity of information flowing through a social networking service or the like and automatically generating a news video based on correct information.SOLUTION: The system includes: means for, based on information flowing through a social networking service or the like, verifying its authenticity and determining its correctness; means for allowing generative AI to automatically generate a news video; and means for sending it out as a program.SELECTED DRAWING: Figure 1

An object of a system according to an embodiment is to promote sound communication in an online comment platform.SOLUTION: A system includes an emotion detection unit, a feedback provision unit, an erroneous information detection unit, and a tone evaluation unit. The emotion detection unit detects emotional wording of the comment. The feedback providing unit provides feedback for prompting cooldown on the basis of the emotional wording detected by the emotion detecting unit. The error information detection unit detects error information of the comment. The feedback providing unit provides accurate data or information based on the error information detected by the error information detection unit. The tone evaluation unit evaluates the tone and manner of the comment. The feedback providing unit provides feedback to prompt improvement based on the tone or manner evaluated by the tone evaluation unit.SELECTED DRAWING: Figure 1

To prevent obsolescence of information or publication of misinformation and to realize efficient information management by automating determination based on a past example and facilitating integration and reference of information, in the present invention.SOLUTION: A system comprises: means of automatically learning and deploying information; means of performing determination based on a past example; and means of integrating and referring information.SELECTED DRAWING: Figure 1

A system may store pieces of misinformation in a retrieval database. The system may receive a request to analyze content for misinformation. The system may retrieve a set of misinformation from the retrieval database, wherein the set of misinformation relates to the content, and wherein the set of misinformation is part of the pieces of misinformation. The system may generate a dynamic prompt based on the set of misinformation, wherein the dynamic prompt includes the set of misinformation. The system may detect a similarity between the content and the set of misinformation by applying the dynamic prompt. The system may conclude that the content includes misinformation in response to detecting the similarity between the content and the set of misinformation.

To provide a system that specifies a bias or false information in a news article to allow a reader to calmly determine information.SOLUTION: A system according to an embodiment comprises a receiving unit, a detection unit, an evaluation unit, an analysis unit, and a visualization unit. The receiving unit inputs a text of a news article. The detection unit analyzes the text input by the receiving unit and detects a bias language. The evaluation unit evaluates the reliability of a source on the basis of the bias language detected by the detection unit. The analysis unit performs emotion analysis on the basis of a result of the evaluation performed by the evaluation unit. The visualization unit visualizes a result of the emotion analysis performed by the analysis unit.SELECTED DRAWING: Figure 1

This application relates to a method, apparatus, and device for multimodal misinformation detection based on geometric dissimilarity. The method models textual and visual features as probability distributions to capture modality-specific uncertainties; and achieves multimodal fusion supporting uncertainty perception by quantifying cross-modal inconsistencies on a statistical manifold through geometric dissimilarity quantification based on an improved Fisher-Rao distance. The method has demonstrated robustness and effectiveness in detecting fake news on multiple social media platforms.

The system according to this embodiment aims to evaluate the reliability of news articles and websites, detect misinformation, and provide appropriate information. [Solution] The system according to the embodiment comprises an analysis unit, an evaluation unit, a detection unit, and a provision unit. The analysis unit analyzes the content of news articles and websites. The evaluation unit evaluates the reliability of the content analyzed by the analysis unit. The detection unit detects misinformation based on the results evaluated by the evaluation unit. The provision unit provides appropriate information based on the misinformation detected by the detection unit.

A method for detection of misinformation without the need to analyze any articles (HINTS) includes forming a mixed graph containing at least two different node types, such as users and articles, with edges between users and articles, and with user weights for user nodes and article weights for article nodes. Seed nodes are planted for at least one user node and at least one article node. User weights and article weights are manually assigned to the seed nodes, then neighborhoods are defined for the seed nodes. A HITS-like algorithm is then run for a predetermined number of rounds updating both people and articles, while keeping the weights of the seed nodes constant to converge the graph for the weights of articles and users. Finally, a set of highest weights for users and / or articles is outputted and possible remedial action can be taken.

Trend Sights: A media listening platform for capturing mentions not only in the digital sphere but also in radio and television broadcasts. The platform captures audio, video, and text from traditional and digital media, transcribes them, and analyzes them using artificial intelligence to extract entities, themes, and sentiment. A transformer classifier filters out informational noise in real time, and a specialized detector identifies misinformation, estimating its reach. The propagation of mentions is modeled with quantum neural networks on large-scale graphs. The system generates automated PDF reports and is accessible through a multi-user web application, providing journalists, researchers, and SMEs with accurate and actionable information at a reduced cost.

A system is provided.SOLUTION: A system comprising: means for collecting published posts; means for analyzing the collected published posts and extracting posts including a specific keyword; means for collating contents of the extracted posts with official information of a company; means for identifying erroneous information based on a collation result and setting a flag to the erroneous information; means for generating correction information for a post determined to be erroneous information; and means for posting the generated correction information to an SNS.SELECTED DRAWING: Figure 1

The system according to this embodiment aims to verify the veracity of information disseminated on social media and to correct misinformation. [Solution] The system according to the embodiment comprises a collection unit, a verification unit, a correction unit, and a notification unit. The collection unit collects information disseminated on social media. The verification unit verifies the truthfulness of the information collected by the collection unit. The correction unit provides correct information if the verification unit determines that the information is false. The notification unit notifies the corporation of the information corrected by the correction unit.

Methods, apparatuses, and computer program products for the authentication of human speech through the registration and verification of public and private keys associated with audio. This audio authentication hardware key and detection ecosystem may enable casual users and public figures alike to provide a positive verification that a person is who they say they are and endorse their speech. The audio code underlaying the human speech gets encoded with identifiers that effectively watermark the audio code to make it recognizable to a server and the human speech verifiable. To display this verification at a system-level within a social media platform, news channel, podcast library, or video site will combat the dangers of deepfake audio at the source—the publication of the audio / videos themselves—and prevent the spread of misinformation.